菜单
Store information in the hierarchical memory system. Supports three tiers: working (ephemeral), episodic (recent events), and semantic (permanent patterns). Use for learning from observations. Keywords: memory, store, learn, remember, episodic, semantic, pattern.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill store-memory命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据，按主题分组汇总"我都做了什么"，并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
基于 SOC 职业分类
正在显示 SKILL.md
| name | store-memory |
| version | 1.0.0 |
| description | Store information in the hierarchical memory system. Supports three tiers: working (ephemeral), episodic (recent events), and semantic (permanent patterns). Use for learning from observations. Keywords: memory, store, learn, remember, episodic, semantic, pattern. |
| metadata | {"domain":"general","category":"memory","requires-approval":false,"confidence":0.9,"mcp-servers":[]} |
Before applying this skill, verify:
Determine which memory tier to use:
Use LLM to extract key facts from content:
input: $raw_content
max_length: 4000
temperature: 0.1
output: list[str]
For Working Memory:
memory.add_working(
content=content,
metadata={"source": source, "timestamp": now}
)
For Episodic Memory:
memory.add_episodic(
content=content,
user_id=user_id,
metadata={"event_type": type, "timestamp": now}
)
For Semantic Memory:
memory.add_semantic(
content=content,
user_id=user_id,
metadata={"pattern_type": type, "confidence": confidence}
)
The skill succeeds when:
If storage fails:
Input Context:
{
"tier": "episodic",
"content": "Pod nginx-abc123 crashed due to OOM. Increased memory limit from 512Mi to 1Gi.",
"user_id": "k8s-monitor",
"event_type": "remediation_success",
"source": "remediator"
}
Expected Output:
{
"stored": true,
"tier": "episodic",
"memory_id": "mem_abc123",
"facts_extracted": 2
}